applicationofaseasurfacetemperaturefrontcompositealgorithminthebohaiyellowandeastchinaseas
文献类型:期刊论文
作者 | Ping Bo2; Su Fenzhen1![]() ![]() |
刊名 | chinesejournalofoceanologyandlimnology
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出版日期 | 2016 |
卷号 | 34期号:3页码:597 |
ISSN号 | 0254-4059 |
英文摘要 | The oceanic front is a narrow zone in which water properties change abruptly within a short distance. The sea surface temperature (SST) front is an important type of oceanic front, which plays a significant role in many fields including fisheries, the military, and industry. Satellite-derived SST images have been used widely for front detection, although these data are susceptible to influence by many objective factors such as clouds, which can cause missing data and a reduction in front detection accuracy. However, front detection in a single SST image cannot fully reflect its temporal variability and therefore, the long-term mean frequency of occurrence of SST fronts and their gradients are often used to analyze the variations of fronts over time. In this paper, an SST front composite algorithm is proposed that exploits the frontal average gradient and frequency more effectively. Through experiments based on MODIS Terra and Aqua data, we verified that fronts could be distinguished better by using the proposed algorithm. Additionally through its use, we analyzed the monthly variations of fronts in the Bohai, Yellow, and East China Seas, based on Terra data from 2000 to 2013. |
语种 | 英语 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/117882] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
作者单位 | 1.中国科学院地理科学与资源研究所 2.武汉大学 |
推荐引用方式 GB/T 7714 | Ping Bo,Su Fenzhen,Meng Yunshan,et al. applicationofaseasurfacetemperaturefrontcompositealgorithminthebohaiyellowandeastchinaseas[J]. chinesejournalofoceanologyandlimnology,2016,34(3):597. |
APA | Ping Bo,Su Fenzhen,Meng Yunshan,Du Yunyan,&Fang Shenghui.(2016).applicationofaseasurfacetemperaturefrontcompositealgorithminthebohaiyellowandeastchinaseas.chinesejournalofoceanologyandlimnology,34(3),597. |
MLA | Ping Bo,et al."applicationofaseasurfacetemperaturefrontcompositealgorithminthebohaiyellowandeastchinaseas".chinesejournalofoceanologyandlimnology 34.3(2016):597. |
入库方式: OAI收割
来源:地理科学与资源研究所
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